Sorry Gary but Valencia would have been better off using Tal to find the right hire. https://tal.ai
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Sr. Global Talent Acquisition Leader| Career Coach| Corporate Recruiter| Talent Acquisition Expert| IT Recruiter WEBSITE COMING SOON!
Interested in recruiting top talent while preserving a human touch? Allow me to introduce a solution that leverages AI technology! Here are just a few benefits you get... Search: Better Talent in Less Time With More Humanity Filter: Say ByeBias, Hello Diversity Engage: Quickly connect with talent in seconds Insights: Research real time with compensation data and discover talent trends Contact me directly at jeaniebriscoe@hirehumansai.com or 662.641.8653 and save 10% off your direct hire fee! CODE: HIREHUMANSAI Website coming soon!
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At Trigify.io we want to make your data work for you. Check out how you can use the app to seamlessly use your data to integrate with various systems such as Clay! 🚀
𝗗𝗮𝘁𝗮 𝗪𝗮𝘀𝘁𝗮𝗴𝗲 is a real problem. I've spent countless hours using tools like Clay & n8n to filter out pointless data. What is Data Wastage? My definition: Using a system to find information only to use another system to filter out irrelevant bits of information/data. I.e. not filtering at source. One common workflow I see all the gurus posting about is Apify → Clay Job Postings. **𝗖𝗮𝘃𝗲𝗮𝘁: 𝗜 𝘂𝘀𝗲𝗱 𝘁𝗼 𝗱𝗼 𝘁𝗵𝗶𝘀 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄. Apify plans start at $49 for the start plan but then increase to $499, and the real issue is pricing is a nightmare to work out due to it pricing based on compute rather than returned results + you need to rent actors. So if you wanted to do a search such as: → Jobs on LinkedIn → Headcount 10-500 → Software Development Industry → Exclude Staffing & Recruitment agencies You will have to use Clay or n8n to filter out the data based on the results you get back. You're paying for data you won't use (Kinda pointless unless you are a developer). You've also only done Track 1 of a two-step workflow as you now need to find people at the company. This is why I've ditched the complex n8n workflows or countless clay enrichments + filters and just streamlined using Trigify.io Job Posting dataset, which allows you to filter at source + find the people associated = 0 Data Wastage. I am saving both $$ + Clay credits in the process! Check it out 👇 #ai #automation #sales
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Very excited about Pave's partnership with Greenhouse Software to introduce Offer Insights. This partnership gives compensation and talent leaders access to over 1 million real-time offer data points, enabling them to spot emerging market trends and make informed decisions when competing for top talent. Here are my top 3 takeaways from our recent data: 1. Demand for AI is accelerating ML salary growth: Median offers jumped from $148k a year in Jan’23 to $227k in Apr’24 - a 53% jump. 2. Tech recruiting is back: Offer data show a 56% increase in tech recruiting base salaries since Q3’23. 3. Return to office is driving up office management salaries: Median office manager salaries increased from $87k in Jan’24 to $100k in Apr’24. More details in CNBC's recent article (link in comments).
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Great use case! GenAI + Vector Database + Search #elasticsearch
"Vector matching and generative AI are the future of search in recruitment,” shares Krishna Chalasani, Software Development Manager for Search at Reed.co.uk. “When it came to performance and relevancy, the early results from evaluating Elasticsearch as a vector database were amazing.” Reed.co.uk, the UK's largest online job site, is revolutionizing recruitment with Elasticsearch. Using vector embeddings and vector similarity techniques, Elasticsearch matches user intent with job descriptions to enable fast and relevant job searches. Learn more about how Reed.co.uk built a better search experience for candidates and employers: https://go.es.io/4fb6GpJ
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Senior Director @ Elastic | Field Mktg | Industry Mktg | Demand Gen | GTM Strategy | Global Campaign Strategy | Former AWS, IBM, Rackspace, FinTech (Payments tech), LegalTech | Advisory Board Member
Recruiting with faster and more relevant job searches using vector embeddings and vector similarity techniques: Another great use of Generative AI to enhance and extend our capabilities. #recruiting #jobsearch #vector #search
"Vector matching and generative AI are the future of search in recruitment,” shares Krishna Chalasani, Software Development Manager for Search at Reed.co.uk. “When it came to performance and relevancy, the early results from evaluating Elasticsearch as a vector database were amazing.” Reed.co.uk, the UK's largest online job site, is revolutionizing recruitment with Elasticsearch. Using vector embeddings and vector similarity techniques, Elasticsearch matches user intent with job descriptions to enable fast and relevant job searches. Learn more about how Reed.co.uk built a better search experience for candidates and employers: https://go.es.io/4fb6GpJ
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"Vector matching and generative AI are the future of search in recruitment,” shares Krishna Chalasani, Software Development Manager for Search at Reed.co.uk. “When it came to performance and relevancy, the early results from evaluating Elasticsearch as a vector database were amazing.” Reed.co.uk, the UK's largest online job site, is revolutionizing recruitment with Elasticsearch. Using vector embeddings and vector similarity techniques, Elasticsearch matches user intent with job descriptions to enable fast and relevant job searches. Learn more about how Reed.co.uk built a better search experience for candidates and employers: https://gag.gl/Qkdwtp
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"Vector matching and generative AI are the future of search in recruitment,” shares Krishna Chalasani, Software Development Manager for Search at Reed.co.uk. “When it came to performance and relevancy, the early results from evaluating Elasticsearch as a vector database were amazing.” Reed.co.uk, the UK's largest online job site, is revolutionizing recruitment with Elasticsearch. Using vector embeddings and vector similarity techniques, Elasticsearch matches user intent with job descriptions to enable fast and relevant job searches. Learn more about how Reed.co.uk built a better search experience for candidates and employers: https://gag.gl/Qkdwtp
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"Vector matching and generative AI are the future of search in recruitment,” shares Krishna Chalasani, Software Development Manager for Search at Reed.co.uk. “When it came to performance and relevancy, the early results from evaluating Elasticsearch as a vector database were amazing.” Reed.co.uk, the UK's largest online job site, is revolutionizing recruitment with Elasticsearch. Using vector embeddings and vector similarity techniques, Elasticsearch matches user intent with job descriptions to enable fast and relevant job searches. Learn more about how Reed.co.uk built a better search experience for candidates and employers: https://gag.gl/Qkdwtp
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"Vector matching and generative AI are the future of search in recruitment,” shares Krishna Chalasani, Software Development Manager for Search at Reed.co.uk. “When it came to performance and relevancy, the early results from evaluating Elasticsearch as a vector database were amazing.” Reed.co.uk, the UK's largest online job site, is revolutionizing recruitment with Elasticsearch. Using vector embeddings and vector similarity techniques, Elasticsearch matches user intent with job descriptions to enable fast and relevant job searches. Learn more about how Reed.co.uk built a better search experience for candidates and employers: https://gag.gl/Qkdwtp
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